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New Podcast: Machine Learning & Fraud — A Practitioner Perspective
Machine learning is no longer a future concept in fraud prevention — it’s actively reshaping how the payments industry detects risk, reduces false positives, and responds to evolving threats in real time.
In this podcast, Machine Learning & Fraud: A Practitioner Perspective, industry experts share how machine learning is being applied today across the payments ecosystem. From predictive AI and real-time scoring to implementation challenges and governance considerations, this conversation offers a practical look at what’s working — and what’s ahead.
In this episode, you’ll hear:• How machine learning enhances (not replaces) rules-based systems• The difference between predictive AI and generative AI in fraud prevention• How organizations are improving detection rates while reducing customer friction• Key challenges, including data integration, model governance, and explainability• What’s next: scams, deepfakes, and the future of fraud prevention
Machine learning is quickly becoming a baseline capability for modern fraud defense — this episode breaks down what that means in practice.
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New Podcast: Machine Learning & Fraud — A Practitioner Perspective
